Google Pixel 9 Pro
Geekbench AI Score
1871
Single Precision Score
1861
Half Precision Score
2767
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (Q)
|
100% |
2456
456.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6292
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1497
119.1 IPS |
|
|
Object Detection (HP)
|
98% |
1451
115.5 IPS |
|
|
Object Detection (Q)
|
83% |
1950
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4909
58.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3137
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3049
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4913
45.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7045
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6903
8.96 IPS |
|
|
Style Transfer (Q)
|
98% |
13227
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2875
106.5 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.2 IPS |
|
|
Text Classification (HP)
|
99% |
522
696.8 IPS |
|
|
Text Classification (Q)
|
88% |
902
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
